Copertina

BOOD: Boundary-based Out-Of-Distribution Data Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liao, Qilin, Yang, Shuo, Zhao, Bo, Luo, Ping, Zhao, Hengshuang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning with Mixture of Prototypes for Out-of-Distribution Detection
di: Lu, Haodong, et al.
Pubblicazione: (2024)

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
di: Huang, Runhui, et al.
Pubblicazione: (2026)

Large-scale Dataset Pruning with Dynamic Uncertainty
di: He, Muyang, et al.
Pubblicazione: (2023)

Understanding the Failure Modes of Out-of-Distribution Generalization
di: Nagarajan, Vaishnavh, et al.
Pubblicazione: (2020)

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
di: Guo, Jiyu, et al.
Pubblicazione: (2025)

H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
di: Liu, Yuhang, et al.
Pubblicazione: (2025)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
di: Zhao, Qinyu, et al.
Pubblicazione: (2024)

Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection
di: Liang, Zhixuan, et al.
Pubblicazione: (2023)

GDRO: Group-level Reward Post-training Suitable for Diffusion Models
di: Wang, Yiyang, et al.
Pubblicazione: (2026)

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
di: Xu, Haonan, et al.
Pubblicazione: (2026)

Hypercone Assisted Contour Generation for Out-of-Distribution Detection
di: Vapsi, Annita, et al.
Pubblicazione: (2025)

Generating Out-Of-Distribution Scenarios Using Language Models
di: Aasi, Erfan, et al.
Pubblicazione: (2024)

Energy-based Hopfield Boosting for Out-of-Distribution Detection
di: Hofmann, Claus, et al.
Pubblicazione: (2024)

Joint Out-of-Distribution Filtering and Data Discovery Active Learning
di: Schmidt, Sebastian, et al.
Pubblicazione: (2025)

EGA: Adapting Frozen Encoders for Vector Search with Bounded Out-of-Distribution Degradation
di: Zhao, Dongfang
Pubblicazione: (2026)

Generalized Out-of-Distribution Detection: A Survey
di: Yang, Jingkang, et al.
Pubblicazione: (2021)

Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
di: Wang, Yingsheng, et al.
Pubblicazione: (2025)

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
di: Xu, Shijian
Pubblicazione: (2025)

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
di: Wang, Xin, et al.
Pubblicazione: (2026)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
di: Wu, Yingwen, et al.
Pubblicazione: (2024)

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
di: Vaish, Puru, et al.
Pubblicazione: (2025)

On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
di: O'Mahony, Laura, et al.
Pubblicazione: (2024)

Accurately Classifying Out-Of-Distribution Data in Facial Recognition
di: Barone, Gianluca, et al.
Pubblicazione: (2024)

Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
di: Zhu, Lin, et al.
Pubblicazione: (2025)

On the Out-of-Distribution Generalization of Reasoning in Multimodal LLMs for Simple Visual Planning Tasks
di: Neuhaus, Yannic, et al.
Pubblicazione: (2026)

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
di: Dauncey, Sam, et al.
Pubblicazione: (2024)

Activation Subspaces for Out-of-Distribution Detection
di: Zöngür, Barış, et al.
Pubblicazione: (2025)

Out-of-Distribution Detection with Relative Angles
di: Demirel, Berker, et al.
Pubblicazione: (2024)

Gradient-Regularized Out-of-Distribution Detection
di: Sharifi, Sina, et al.
Pubblicazione: (2024)

Out-Of-Distribution Detection with Diversification (Provably)
di: Yao, Haiyun, et al.
Pubblicazione: (2024)

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
di: Ji, Yingrui, et al.
Pubblicazione: (2024)

Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks
di: Sargolzaei, Saleh, et al.
Pubblicazione: (2024)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
di: Yang, Yifeng, et al.
Pubblicazione: (2025)

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding
di: Liu, Xiangyue, et al.
Pubblicazione: (2026)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
di: Dong, Hao, et al.
Pubblicazione: (2024)

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
di: Kösel, Michael, et al.
Pubblicazione: (2026)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
di: Kösel, Michael, et al.
Pubblicazione: (2024)

Beyond Perceptual Distances: Rethinking Disparity Assessment for Out-of-Distribution Detection with Diffusion Models
di: Fang, Kun, et al.
Pubblicazione: (2024)

Vendi Novelty Scores for Out-of-Distribution Detection
di: Pasarkar, Amey P., et al.
Pubblicazione: (2026)

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations
di: Fang, Kun, et al.
Pubblicazione: (2025)